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公开(公告)号：US20140218516A1
公开(公告)日：2014-08-07
申请号：US13933074
申请日：2013-07-01
Inventor： Do-Hyung KIM , Ho sub YOON , Jae Yeon LEE , Kyu-Dae BAN , Woo han YUN , Youngwoo YOON , Jae Hong KIM , Young-Jo CHO , Suyoung CHI , Kye Kyung KIM
IPC: H04N7/18
CPC classification number: H04N7/18 , G06K9/00335 , G06K9/00369 , G06K9/00664
Abstract: A human information recognition method includes analyzing sensor data from multi-sensor resource placed in a recognition space to generate human information based on the sensor data, the human information including an identity, location and activity information of people existed in the recognition space. Further, the human information recognition method includes mixing the human information based on the sensor data with human information, the human information being acquired through interaction with the people existed in the recognition space; and storing a human model of the people existed in the recognition space depending on the mixed human information in a database unit.
Abstract translation: 一种人类信息识别方法，包括从放置在识别空间中的多传感器资源分析传感器数据，基于传感器数据生成人类信息，所述人类信息包括识别空间中存在的人的身份，位置和活动信息。 此外，人类信息识别方法包括将基于传感器数据的人类信息与人类信息进行混合，通过与存在于识别空间中的人相互作用来获取人类信息; 并且根据数据库单元中的混合人类信息，存储人的人类模型存在于识别空间中。
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公开(公告)号：US20230147274A1
公开(公告)日：2023-05-11
申请号：US17903364
申请日：2022-09-06
Inventor： Woo Han YUN , Do Hyung KIM , Jae Hong KIM , Tae Woo KIM , Chan Kyu PARK , Ho Sub YOON , Jae Yeon LEE , Min Su JANG
CPC classification number: G06V20/68 , G06V10/25 , G06V10/255 , G06V2201/07 , G06Q50/12
Abstract: Disclosed herein a method and apparatus for recommending a table service based on image recognition. According to an embodiment of the present disclosure, there is provided a method for recommending a table service, including: receiving a table image that is captured in real time; acquiring, by using an artificial intelligence of a pre-learned learning model, table information that includes object information and food information of at least one table in the table image; and recommending, based on the table information, a service for each of the at least one table.
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3.发明申请APPARATUS AND METHOD FOR PROVIDING ACTIVITY RECOGNITION BASED APPLICATION SERVICE 有权提供基于活动识别的应用服务的装置和方法公开(公告)号：US20150092981A1
公开(公告)日：2015-04-02
申请号：US14162177
申请日：2014-01-23
Inventor： Do-Hyung KIM , Jae Hong KIM , Kye Kyung KIM , Youngwoo YOON , Woo han YUN , Ho sub YOON , Jae Yeon LEE , SUYOUNG CHI , Young-Jo CHO , Kyu-Dae BAN , Jong-Hyun PARK
CPC classification number: G06K9/00342 , G06K9/6269 , G06K2009/4666
Abstract: An apparatus includes an image receiving module configured to collect a depth image provided from a camera, a human body detection module configured to detect a human body from the collected depth image, and an activity recognition module configured to recognize an action of the human body on the basis of a 3-dimensional action volume extracted from the human body and a previously learned action model.
Abstract translation: 一种装置，包括图像接收模块，被配置为收集从相机提供的深度图像，人体检测模块，被配置为从所收集的深度图像中检测人体;以及活动识别模块，被配置为识别人体的动作 从人体提取的三维动作体的基础和先前学习的动作模型。
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Patent Agency Ranking
公开(公告)号：US20140348380A1
公开(公告)日：2014-11-27
申请号：US14163265
申请日：2014-01-24
Inventor： Youngwoo YOON , Woo han YUN , Ho sub YOON , Jae Yeon LEE , Do-Hyung KIM , Jae Hong KIM , Jong-Hyun PARK
IPC: G06K9/00
CPC classification number: G06K9/32 , G06K2009/3291 , G06T7/246 , G06T2207/10024 , G06T2207/10028 , G06T2207/30196 , G06T2207/30232
Abstract: A method for tracking an object in an object tracking apparatus includes receiving an image frame of an image; and detecting a target, a depth analogous obstacle and an appearance analogous obstacle; tracking the target, the depth analogous obstacle and the appearance analogous obstacle; when the detected target overlaps the depth analogous obstacle, comparing the variation of tracking score of the target with that of the depth analogous obstacle. Further, the method includes continuously tracking the target when the variation of tracking score of the target is below that of the depth analogous obstacle and processing a next frame when the variation of tracking score of the target is above that of the depth analogous obstacle; and re-detecting the target.
Abstract translation: 一种用于跟踪对象跟踪装置中的对象的方法包括：接收图像的图像帧; 并且检测目标，深度类似障碍物和外观类似障碍物; 跟踪目标，深度类似障碍和外观类似障碍; 当检测到的目标与深度类似障碍物重叠时，将目标的跟踪得分的变化与深度类似障碍物的变化进行比较。 此外，当目标的跟踪得分的变化低于深度类似障碍物的跟踪得分的变化并且当目标的跟踪得分的变化高于深度类似障碍物的变化时处理下一帧，该方法包括连续跟踪目标; 并重新检测目标。
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公开(公告)号：US20140099030A1
公开(公告)日：2014-04-10
申请号：US14021799
申请日：2013-09-09
Inventor： Hye-Jin KIM , Jae Yeon LEE
IPC: G06T7/00
Abstract: An apparatus for providing an object image recognition includes a boundary extraction unit to extract a boundary of an object image. A feature extraction module extracts a center point of the object image and at least one local feature point from the extracted boundary and calculates each distance between the extracted center point and the extracted local feature point.
Abstract translation: 用于提供对象图像识别的装置包括提取对象图像的边界的边界提取单元。 特征提取模块从提取的边界提取对象图像的中心点和至少一个局部特征点，并计算提取的中心点和提取的局部特征点之间的每个距离。
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6.发明申请公开(公告)号：US20150262012A1
公开(公告)日：2015-09-17
申请号：US14621329
申请日：2015-02-12
Inventor： Kye Kyung KIM , Sang Seung KANG , Jae Yeon LEE , Jae Hong KIM , Joong Bae KIM , Jong Hyun PARK
CPC classification number: G06T7/75 , G06K9/3241 , G06K2209/19 , G06T2207/30164
Abstract: The present invention relates to a device and a method of detecting arbitrarily piled objects, and a device and a method for picking a detected object. The present invention may provide a device and a method of detecting an object, which extract a unique local characterized part of the object by using a visual sensor, detect an object region, and estimate a posture from the detected object region. Also the present invention may provide an object picking system capable of being applied to an actual production process, such as assembling or packaging, in a cell producing method.
Abstract translation: 本发明涉及一种检测任意堆积的物体的装置和方法，以及用于拾取被检测物体的装置和方法。 本发明可以提供一种检测物体的装置和方法，其通过使用视觉传感器，检测对象区域以及从检测到的对象区域估计姿势来提取对象的唯一的局部特征化部分。 此外，本发明还可以提供一种能够应用于细胞生产方法中的实际生产过程，例如组装或包装的物体拾取系统。
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公开(公告)号：US20140100696A1
公开(公告)日：2014-04-10
申请号：US13940186
申请日：2013-07-11
Inventor： Kye Kyung KIM , Sang Seung KANG , Jae Yeon LEE , Joong Bae KIM , Jae Hong KIM , Jong Hyun PARK
IPC: B25J9/16
CPC classification number: B25J9/1697 , G05B2219/40053 , G05B2219/45063
Abstract: Disclosed is a working method using a sensor, which increases recognition of a component to increase mounting of a component and enhancing productivity. The working method includes: extracting an object to be picked from a pile of objects using the sensor; picking the extracted object to move the picked object to a predetermined place; and estimating an angle of the moved object in the current position using the sensor. Accordingly, the working method can perform precise component recognition and posture estimation by two steps: a component picking step and a component recognition step, and effectively apply to a manufacturing line, thereby improving mounting of a component and enhancing productivity of a product.
Abstract translation: 公开了一种使用传感器的工作方法，其增加了部件的识别以增加部件的安装并提高生产率。 该工作方法包括：使用传感器从一堆物体中提取要拾取的物体; 拾取提取的物体将拾取的物体移动到预定的位置; 以及使用所述传感器估计当前位置中的被移动物体的角度。 因此，工作方法可以通过以下两个步骤执行精确的部件识别和姿势估计：部件拾取步骤和部件识别步骤，并且有效地应用于生产线，从而改进部件的安装并提高产品的生产率。
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公开(公告)号：US20140107842A1
公开(公告)日：2014-04-17
申请号：US14021983
申请日：2013-09-09
Inventor： Young Woo YOON , Do Hyung KIM , Woo Han YUN , Ho Sub YOON , Jae Yeon LEE , Jae Hong KIM , Jong Hyun PARK
CPC classification number: G05D1/0231 , G05D1/0248 , G06K9/00342 , G06T7/20 , G06T2207/10024 , G06T2207/10028 , G06T2207/30196
Abstract: Provided are a human-tracking method and a robot apparatus. The human-tracking method includes receiving an image frame including a color image and a depth image, determining whether user tracking was successful in a previous image frame, and determining a location of a user and a goal position to which a robot apparatus is to move based on the color image and the depth image in the image frame, when user tracking was successful in the previous frame. Accordingly, a current location of the user can be predicted from the depth image, user tracking can be quickly performed, and the user can be re-detected and tracked using user information acquired in user tracking when detection of the user fails due to obstacles or the like.
Abstract translation: 提供了人类跟踪方法和机器人装置。 人体跟踪方法包括接收包括彩色图像和深度图像的图像帧，确定用户跟踪在先前图像帧中是否成功，以及确定用户的位置和机器人装置要移动的目标位置 基于图像帧中的彩色图像和深度图像，当用户跟踪在前一帧中成功时。 因此，可以从深度图像预测用户的当前位置，可以快速执行用户跟踪，并且可以使用用户跟踪中获取的用户信息来重新检测和跟踪用户，当用户的检测由于障碍物或者 类似。
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